Esraa Hassan
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Neurology
- Plant Science
- Co-authors
- Abeer SaberMahmoud Y. ShamsFatma M. TalaatTarek Abd El‐HafeezNora El-RashidyWael A. AwadKhaled AlnowaiserShaker El–Sappagh
- Topics
- AI in cancer detection (7 papers)Smart Agriculture and AI (6 papers)Network Security and Intrusion Detection (4 papers)
- Partner nations
- EgyptUnited StatesSaudi Arabia
In The Last Decade
Esraa Hassan
31 papers receiving 461 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 139
- Computer Vision and Pattern Recognition 123
- Radiology, Nuclear Medicine and Imaging 108
- Neurology 55
- Plant Science 46
Countries citing papers authored by Esraa Hassan
This map shows the geographic impact of Esraa Hassan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Esraa Hassan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esraa Hassan more than expected).
Fields of papers citing papers by Esraa Hassan
This network shows the impact of papers produced by Esraa Hassan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Esraa Hassan. The network helps show where Esraa Hassan may publish in the future.
Co-authorship network of co-authors of Esraa Hassan
This figure shows the co-authorship network connecting the top 25 collaborators of Esraa Hassan. A scholar is included among the top collaborators of Esraa Hassan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Esraa Hassan. Esraa Hassan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 40 | |
| 10 | Acoustic data detection in large-scale emergency vehicle sirens and road noise datasetbreakdown → | 40 |
| 11 | Knowledge distillation model for Acute Lymphoblastic Leukemia Detection: Exploring the impact of nesterov-accelerated adaptive moment estimation optimizerbreakdown → | 48 |
| 12 | 25 | |
| 13 | 21 | |
| 14 | 15 | |
| 15 | 39 | |
| 16 | 40 | |
| 17 | 2 | |
| 18 | 27 | |
| 19 | 27 | |
| 20 | 14 |
About Esraa Hassan
Esraa Hassan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Neurology, having authored 38 papers that have together received 474 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Smart Agriculture and AI (6 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Health Information Management (32 citations), Neurology (55 citations) and Computer Vision and Pattern Recognition (123 citations). Esraa Hassan has collaborated with scholars based in Egypt, United States and Saudi Arabia. Frequent co-authors include Abeer Saber, Mahmoud Y. Shams, Fatma M. Talaat, Tarek Abd El‐Hafeez, Nora El-Rashidy, Wael A. Awad, Khaled Alnowaiser, Shaker El–Sappagh, Samah A. Gamel and Gamal A. Gouda. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.